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Quantitative Modeling information

See Delaware salary details

$98.1K

$169.9K

$259.7K

How much do quantitative modeling jobs pay per year?

As of Jun 22, 2026, the average yearly pay for quantitative modeling in Delaware is $169,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,600.00 and $199,200.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. This role typically requires a background in finance, mathematics, or engineering and familiarity with modeling tools and software.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What job makes $10,000 a month without a degree?

In quantitative modeling, high-paying roles such as quantitative trader or algorithmic trader can earn $10,000 or more monthly without a formal degree, often relying on strong analytical skills, programming knowledge, and experience with financial markets. Success in these roles depends on demonstrated expertise, risk management, and the ability to develop profitable models, rather than formal education alone.

What jobs make $1,000,000 a year?

In quantitative modeling, high-earning roles such as senior quantitative analysts, hedge fund managers, and chief investment officers can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, risk management, or data science.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are popular job titles related to Quantitative Modeling jobs in Delaware? For Quantitative Modeling jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Delaware look for? The top searched job categories for Quantitative Modeling jobs in Delaware are:
Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Delaware as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $169,875 per year, or $81.7 per hour.
Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Posted 11 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improving customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions. 

As a Quant Analytics Associate I in our Fraud Prevention Optimization team you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Your objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. You will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. You will be provided an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.

Job Responsibilities

  • Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
  • Use advanced analytical & mathematical techniques to solve complex business problems. 
  • Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle. 
  • Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
  • Provide key data insights and performance to business partners.
  • Collaborate with cross-functional partners to solve key business challenges.
  • Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.
  • Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.

Required qualifications, capabilities, and skills

  • Bachelor's degree in a quantitative field or 3 years risk management or other quantitative experience
  • Background in Engineering, statistics, mathematics, or another quantitative field 
  • Advanced understanding of Python, SAS, and SQL
  • Query large amounts of data and transform into actionable recommendations.
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership.
  • Self-starter with ability to execute quickly and effectively.
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Preferred qualifications, capabilities, and skills

  • MS degree in a quantitative field or 4 or more years risk management or other quantitative experience.
  • Hands on Knowledge of AWS and Snowflake.
  • Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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